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Buffer management is discussed in most operating system texts, including in Silberschatz and Galvin [1998] Stonebraker [1981] discusses the relationship between database-system buffer managers and operating-system buffer managers Chou and Dewitt [1985] presents algorithms for buffer management in database systems, and describes a performance evaluation Bridge et al [1997] describes techniques used in the buffer manager of the Oracle database system Descriptions and performance comparisons of different swizzling techniques are given in Wilson [1990], Moss [1990], and White and DeWitt [1992] White and DeWitt [1994] describes the virtual-memory-mapped buffer-management scheme used in the ObjectStore OODB system and in the QuickStore storage manager Using this scheme, we can map disk pages to a xed virtual-memory address, even if they are not pinned in the buffer The Exodus object storage manager is described in Carey et al [1986] Biliris and Orenstein [1994] provides a survey of storage systems for object-oriented databases Jagadish et al [1994] describes a storage manager for mainmemory databases

The McGraw Hill Companies, 2001

Fig 3-30 A simpli cation of the circuit shown in Fig 3-29 The Thevenin equivalent resistance can then be found by adding up these resistances in series

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Many queries reference only a small proportion of the records in a le For example, a query like Find all accounts at the Perryridge branch or Find the balance of account number A-101 references only a fraction of the account records It is inef cient for the system to read every record and to check the branch-name eld for the name Perryridge, or the account-number eld for the value A-101 Ideally, the system should be able to locate these records directly To allow these forms of access, we design additional structures that we associate with les

An index for a le in a database system works in much the same way as the index in this textbook If we want to learn about a particular topic (speci ed by a word or a phrase) in this textbook, we can search for the topic in the index at the back of the book, nd the pages where it occurs, and then read the pages to nd the information we are looking for The words in the index are in sorted order, making it easy to nd the word we are looking for Moreover, the index is much smaller than the book, further reducing the effort needed to nd the words we are looking for Card catalogs in libraries worked in a similar manner (although they are rarely used any longer) To nd a book by a particular author, we would search in the author catalog, and a card in the catalog tells us where to nd the book To assist us in searching the catalog, the library would keep the cards in alphabetic order by authors, with one card for each author of each book Database system indices play the same role as book indices or card catalogs in libraries For example, to retrieve an account record given the account number, the database system would look up an index to nd on which disk block the corresponding record resides, and then fetch the disk block, to get the account record Keeping a sorted list of account numbers would not work well on very large databases with millions of accounts, since the index would itself be very big; further,

The McGraw Hill Companies, 2001

We can use this to simplify the circuit in Fig 3-29 and replace it with the circuit shown in Fig 3-30 The remaining resistors are in series, so we just add them up to get the Thevenin equivalent resistance RTH = 83 6 +3+4= 11 11

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